For students and experienced learners, a Machine Learning tutorial can be helpful. Its purpose is quick learning for students. It assumes that students know basic information about artificial intelligence and Python, Scikit -learn and NumPy. Students should also have some knowledge about Python and other programming language, such as NumPy. It is also beneficial for students who wish to learn more about machine-learning, but don’t want to commit to a college course.
Tutorial by Josh Gordon
Josh Gordon's tutorial will help you learn more about machine-learning. It is organized in logical steps. The book assumes you have basic knowledge of Python and linux administration. It isn't for absolute beginners but it's a good resource for programmers wanting to learn more on Machine Learning. Here are the best resources for this book.
RStudio
The RStudio machine-learning tutorial will teach you how to create models and perform predictive analyses using R programming language. You will find practical lectures, class notes, quizzes and other learning resources. The course is focused on machine learning techniques, including linear regression, classification and derivatives. The extensive case studies will provide a practical introduction to R-machine learning.
To get a sense of how to create a machine learning algorithm, you can look at Iris data, a dataset that has an overviewable attribute for each species. You can also use numerical classes for your target variable, like the species. You will learn about a number of other machine learning algorithms, which aren't included by default in R. If you're not comfortable with using RStudio, you can use Galaxy or RStudio Cloud.
ML Crash course by Google
Google's Machine Learning Crash course provides a detailed tutorial on the basics and applications of ML. The course includes video lectures and real-world case study, as well as hands-on practice exercises. The 15-hour course includes over 40 exercises. Students will learn how to design real-world ML systems, while also using the TensorFlow machine learning platform. The Crash Course offers a free GPU notebook.
Google's free ML Course is a great source of information about ML. Short videos, interactive simulations and hands-on activities are all part of the course. Students will be able use TensorFlow and Python to solve a range of ML problems. The course is designed to provide a basic understanding of the principles behind machine learning, while also enabling participants to create their own ML models and compete in Kaggle competitions.
FAQ
AI: What is it used for?
Artificial intelligence is a branch of computer science that simulates intelligent behavior for practical applications, such as robotics and natural language processing.
AI can also be called machine learning. This refers to the study of machines learning without having to program them.
There are two main reasons why AI is used:
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To make life easier.
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To be better than ourselves at doing things.
A good example of this would be self-driving cars. AI can replace the need for a driver.
Who invented AI?
Alan Turing
Turing was conceived in 1912. His father, a clergyman, was his mother, a nurse. He excelled in mathematics at school but was depressed when he was rejected by Cambridge University. He took up chess and won several tournaments. He worked as a codebreaker in Britain's Bletchley Park, where he cracked German codes.
He died in 1954.
John McCarthy
McCarthy was born on January 28, 1928. He studied maths at Princeton University before joining MIT. There, he created the LISP programming languages. He was credited with creating the foundations for modern AI in 1957.
He died in 2011.
What can you do with AI?
AI serves two primary purposes.
* Prediction - AI systems are capable of predicting future events. AI systems can also be used by self-driving vehicles to detect traffic lights and make sure they stop at red ones.
* Decision making-AI systems can make our decisions. Your phone can recognise faces and suggest friends to call.
Why is AI important?
In 30 years, there will be trillions of connected devices to the internet. These devices will include everything, from fridges to cars. The Internet of Things (IoT) is the combination of billions of devices with the internet. IoT devices can communicate with one another and share information. They will also make decisions for themselves. A fridge might decide to order more milk based upon past consumption patterns.
It is anticipated that by 2025, there will have been 50 billion IoT device. This is a tremendous opportunity for businesses. But it raises many questions about privacy and security.
What is the status of the AI industry?
The AI industry continues to grow at an unimaginable rate. There will be 50 billion internet-connected devices by 2020, it is estimated. This means that everyone will be able to use AI technology on their phones, tablets, or laptops.
This means that businesses must adapt to the changing market in order stay competitive. Companies that don't adapt to this shift risk losing customers.
You need to ask yourself, what business model would you use in order to capitalize on these opportunities? What if people uploaded their data to a platform and were able to connect with other users? Perhaps you could also offer services such a voice recognition or image recognition.
No matter what you do, think about how your position could be compared to others. It's not possible to always win but you can win if the cards are right and you continue innovating.
Where did AI come from?
Artificial intelligence was created in 1950 by Alan Turing, who suggested a test for intelligent machines. He believed that a machine would be intelligent if it could fool someone into believing they were communicating with another human.
John McCarthy later took up the idea and wrote an essay titled "Can Machines Think?" McCarthy wrote an essay entitled "Can machines think?" in 1956. He described the problems facing AI researchers in this book and suggested possible solutions.
How does AI work?
To understand how AI works, you need to know some basic computing principles.
Computers store information in memory. Computers process data based on code-written programs. The computer's next step is determined by the code.
An algorithm is a set or instructions that tells the computer how to accomplish a task. These algorithms are usually written in code.
An algorithm can be considered a recipe. A recipe could contain ingredients and steps. Each step may be a different instruction. For example, one instruction might read "add water into the pot" while another may read "heat pot until boiling."
Statistics
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
External Links
How To
How to configure Alexa to speak while charging
Alexa, Amazon's virtual assistant, can answer questions, provide information, play music, control smart-home devices, and more. It can even speak to you at night without you ever needing to take out your phone.
With Alexa, you can ask her anything -- just say "Alexa" followed by a question. With simple spoken responses, Alexa will reply in real-time. Alexa will become more intelligent over time so you can ask new questions and get answers every time.
You can also control lights, thermostats or locks from other connected devices.
You can also tell Alexa to turn off the lights, adjust the temperature, check the game score, order a pizza, or even play your favorite song.
Set up Alexa to talk while charging
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Open Alexa App. Tap Settings.
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Tap Advanced settings.
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Select Speech Recognition
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Select Yes, always listen.
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Select Yes to only wake word
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Select Yes, then use a mic.
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Select No, do not use a mic.
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Step 2. Set Up Your Voice Profile.
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Add a description to your voice profile.
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Step 3. Step 3.
Say "Alexa" followed by a command.
Ex: Alexa, good morning!
Alexa will answer your query if she understands it. For example, John Smith would say "Good Morning!"
Alexa will not reply if she doesn’t understand your request.
If you are satisfied with the changes made, restart your device.
Notice: You may have to restart your device if you make changes in the speech recognition language.